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edecob: Event Detection Using Confidence Bounds
Detects sustained change in digital bio-marker data using simultaneous confidence bands. Accounts for noise using an auto-regressive model. Based on Buehlmann (1998) "Sieve bootstrap for smoothing in nonstationary time series" <doi:10.1214/aos/1030563978>.
Getting started
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Package details |
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| Author | Zheng Chen Man [aut, cre] |
| Maintainer | Zheng Chen Man <zheng.chen.man@alumni.ethz.ch> |
| License | MIT + file LICENSE |
| Version | 1.2.2 |
| Package repository | View on CRAN |
| Installation |
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